4D Spatio Temporal Semantic Segmentation
2 papers with code • 0 benchmarks • 0 datasets
Image: Choy et al
Benchmarks
These leaderboards are used to track progress in 4D Spatio Temporal Semantic Segmentation
Most implemented papers
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
StanfordVL/MinkowskiEngine
•
•
CVPR 2019
To overcome challenges in the 4D space, we propose the hybrid kernel, a special case of the generalized sparse convolution, and the trilateral-stationary conditional random field that enforces spatio-temporal consistency in the 7D space-time-chroma space.
Enforcing temporal consistency in Deep Learning segmentation of brain MR images
bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets
•
•
Proposed CNN based segmentation approaches demonstrate how 2D segmentation using prior slices can provide similar results to 3D segmentation while maintaining good continuity in the 3D dimension and improved speed.
